GenAI Training

GenAI Shaping the Future of Creativity and Innovation

ABOUT THE PROGRAM

Generative AI is a revolutionary area of artificial intelligence dedicated to developing systems capable of producing original content, such as images, text, and music. Utilizing sophisticated models like Generative Adversarial Networks (GANs) and Variational Autoencoders (VAEs), GenAI expands the horizons of machine creativity, with significant applications across various industries. This course will introduce you to the essential concepts, methodologies, and practical uses of GenAI, equipping you with the skills to drive innovation and creativity using this powerful technology.

GenAI Training Enquiry

 

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Reach us at +971-503735593, Building A1, Dubai Digital Park, Dubai Silicon Oasis, Dubai, United Arab Emirates or info@thehubofknowledge.com for more information.

PREREQUISITES

To ensure your success in this course, you should have a foundational knowledge of business processes and general business concepts. You should also have at least a basic understanding of information technology resources and systems, including networks, computers, and other electronic devices used in the enterprise.

TARGET AUDIENCE

This course is primarily designed for - 

  • Business leaders
  • Consultants
  • Product and project managers
  • Other decision makers who are interested in unlocking new business opportunities

 

WHAT WILL YOU LEARN?

In this course, candidates will identify ways in which generative AI can bring significant value to the
organization.

Delegates will learn:

• Describe the fundamentals of AI and generative AI.
• Generate text using AI.
• Generate code using AI.
• Generate images and video using AI.
• Generate audio using AI.
• Identify the challenges of generative AI.
• Implement organizational strategies for generative AI.

PROGRAM OVERVIEW

Generative AI is a revolutionary area of artificial intelligence dedicated to developing systems capable of producing original content, such as images, text, and music. Utilizing sophisticated models like Generative Adversarial Networks (GANs) and Variational Autoencoders (VAEs), GenAI expands the horizons of machine creativity, with significant applications across various industries. This course will introduce you to the essential concepts, methodologies, and practical uses of GenAI, equipping you with the skills to drive innovation and creativity using this powerful technology.


PROGRAM CONTENT

Session 1 — 09:00 AM to 10:00 AM

Introduction to Generative AI

  • Understanding Generative AI
  • Traditional AI vs. Generative AI
  • What are Large Language Models (LLMs)?
  • Overview of leading AI models (GPT, Claude, Llama, Gemini)
  • Industry-specific applications
  • How AI is reshaping modern workflows

Live Demonstration:
AI-generated text, summaries, and problem-solving examples.

Session 2 — 10:00 AM to 11:00 AM

Fundamentals of Prompt Engineering

  • What is a prompt and how it influences AI output
  • Elements of a good prompt (role, task, context, format)
  • Zero-shot, one-shot, and few-shot prompting
  • Controlling tone, writing style, and structure
  • Avoiding hallucinations and incorrect outputs

Hands-On Practice:
Crafting professional prompts, rewriting weak prompts.

Break — 11:00 AM to 11:15 AM

Session 3 — 11:15 AM to 12:15 PM

AI for Productivity and Daily Work

  • Using ChatGPT, Claude, and Gemini for analysis and research
  • Working with documents (PDF, Excel, Word)
  • AI-based summarization and reporting
  • Content generation (blogs, emails, scripts, LinkedIn posts)
  • Ideas, strategies, and planning using AI

Hands-On Practice:
Writing a LinkedIn post, summarizing a document, generating a plan.

Lunch Break — 12:15 PM to 1:00 PM

Session 4 — 1:00 PM to 2:00 PM

AI for Images, Audio, and Video

  • AI image creation tools (Midjourney, DALL·E, Stable Diffusion)
  • Introduction to AI video generation (Runway, Pika, Sora concepts)
  • AI-based voice generation (text-to-speech tools)
  • Using AI for branding, design consistency, and marketing visuals

Hands-On Practice:
Creating a promotional image and developing a simple AI-based video concept.

Session 5 — 2:00 PM to 3:00 PM

AI for Automation (No-Code)

  • Automating everyday work tasks using AI
  • AI + spreadsheets (data cleaning, formulas, summaries)
  • Creating no-code chatbots
  • Using automation tools (Zapier, Make)
  • Designing simple AI-based assistants

Hands-On Practice:
Building an Auto-Reply Assistant and a basic Q&A assistant.

Break — 3:00 PM to 3:15 PM

Session 6 — 3:15 PM to 4:30 PM

Mini Project and Practical Lab

Participants select one mini-project and complete it from start to finish.

Project Options:

  • Customer Service AI Assistant
  • Marketing Content Generator
  • Internal Company Policy Q&A Bot
  • AI-Generated Promotional Product Images

Deliverables:
A prompt library, generated outputs, and a short presentation.

Closing Session — 4:30 PM to 5:00 PM

Ethics, Best Practices, and AI Safety

  • Responsible usage of AI
  • Data privacy, confidentiality, and compliance
  • Identifying risks and preventing misinformation
  • Future skills and roadmap for AI adoption

Certificates (optional) and final Q&A.

Key Highlights

  • Fully practical training with real-world examples
  • Hands-on learning in every session
  • Templates and prompt libraries included
  • Customizable for any industry or department